Refai Sarah, Berger Stefanie, Wassmann Kati, Hecht Melanie, Dickhaus Thomas, Deppenmeier Uwe
Universität Bonn, Institut für Mikrobiologie und Biotechnologie, Meckenheimer Allee 168, 53115, Bonn, Germany.
Schaumann BioEnergy GmbH, An der Mühlenau 4, 25421, Pinneberg, Germany.
J Ind Microbiol Biotechnol. 2017 Mar;44(3):465-476. doi: 10.1007/s10295-016-1894-8. Epub 2017 Jan 7.
A method was developed to quantify the performance of microorganisms involved in different digestion levels in biogas plants. The test system was based on the addition of butyrate (BCON), ethanol (ECON), acetate (ACON) or propionate (PCON) to biogas sludge samples and the subsequent analysis of CH formation in comparison to control samples. The combination of the four values was referred to as BEAP profile. Determination of BEAP profiles enabled rapid testing of a biogas plant's metabolic state within 24 h and an accurate mapping of all degradation levels in a lab-scale experimental setup. Furthermore, it was possible to distinguish between specific BEAP profiles for standard biogas plants and for biogas reactors with process incidents (beginning of NH-N inhibition, start of acidification, insufficient hydrolysis and potential mycotoxin effects). Finally, BEAP profiles also functioned as a warning system for the early prediction of critical NH-N concentrations leading to a drop of CH formation.
开发了一种方法来量化沼气厂中参与不同消化水平的微生物的性能。该测试系统基于向沼气污泥样品中添加丁酸盐(BCON)、乙醇(ECON)、乙酸盐(ACON)或丙酸盐(PCON),并随后与对照样品相比分析甲烷(CH)的形成。这四个值的组合被称为BEAP谱。BEAP谱的测定能够在24小时内快速测试沼气厂的代谢状态,并在实验室规模的实验装置中准确描绘所有降解水平。此外,还能够区分标准沼气厂和有工艺事故(NH-N抑制开始、酸化开始、水解不足和潜在霉菌毒素影响)的沼气反应器的特定BEAP谱。最后,BEAP谱还作为一种预警系统,用于早期预测导致甲烷形成下降的临界NH-N浓度。